Symvanta
The code graph your AI coding agent is missing
Symvanta launched on August 29, 2026 with 4 votes, #2,153 of 23,274 launches that month and more than 75% of that year's launches.
What it does
Index your GitHub repos into a live code knowledge graph. Give AI agents exact symbols, call graphs, and blast radius over MCP, across every repo.
On a real codebase your agent greps blindly, invents functions that don't exist, and ships refactors that break things it never saw. Symvanta is the code knowledge graph it plugs into over MCP: who calls what, and what breaks if it changes, across every repo in your project. 7-day trial, no credit card. See it on your own code in minutes. When your agent reads raw files, it misses the graph: callers, dependencies, blast radius. Relationships that Symvanta pre-computes so agents never have to guess. This is cal.com, a public repository indexed live in Symvanta, plus the react source its imports resolve into. Every answer below is real. Click a question, then verify any line on GitHub.…from symvanta.com
Does a similar job
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Git for AI AgentsMay 2026 · github.com · ▲129hi guys. been working on something i think is fundamentally missing in today's workflow with ai agents. vcs. i find myself struggling with questions that agents can't answer like "why did you do it?", "when did u delete this folder? why?", etc. or trying to /rewind (after a /compact...) or basically `bisect` to find when and why something was done by the agent in the current / previous session. just like git did for code, i think we are the same core capabilities with ai agents so... i developed an open source solution for that (currently supporting claude code) would love to…
AI Designer MCPApr 2026 · aidesigner.ai · ▲89Give your agent tools to create beautiful, codebase-aware UI
Sense, code intelligence for AI agentsJun 2026 · luuuc.github.io · ▲14Your AI has your code's text, never its map. Fix that.

AxiomCode Graph, Reducing coding agent rework with formal methods7d ago · github.com · ▲10Turn any codebase into a knowledge graph grounded in formal methods. Your AI agents get exact answers for any code-related task, ensure correctness, and optimize time and token usage. - AxiomCodeAI/axiomcodegraph

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